AI Software Engineer at Anika Systems translating research into production ready AI capabilities and working with federal agencies. Focused on Generative AI solutions and intelligent automation.
Responsibilities
Translate emerging research into production ready, Generative AI capabilities
Own the full lifecycle—from ideation and prototyping through cloud deployment and MLOps
Research, design, and develop production grade Generative AI and intelligent automation solutions
Lead end to end development: data collection/cleansing, model finetuning, evaluation, optimization, containerization, and secure cloud deployment (Azure/AWS)
Implement LLMOps/MLOps pipelines for automated testing, bias detection, monitoring, and rollback
Apply Responsible AI principles and federal compliance standards (e.g., NIST RMF, FedRAMP)
Translate vague mission requirements into technical designs; iterate quickly with stakeholders via agile ceremonies and rapid prototyping
Contribute to the VITAL Innovation Lab roadmap by identifying research topics, publishing internal white papers, and presenting at communities of practice
Requirements
Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master’s is a bonus
1-3+ years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions
Hands-on with modern ML/LLM tooling (PyTorch or TensorFlow; LangChain, LangGraph, vector databases such as Pinecone, Azure AI Search, FAISS) and AI Agents
Proven experience deploying workloads to Azure (preferred), AWS, or another major cloud provider
Familiarity with DevOps/Infrastructure as Code (GitHub Actions, Terraform/Bicep, Docker/Kubernetes)
Strong written and verbal communication; ability to explain complex concepts to nontechnical audiences
Aspiration to develop leadership and team management skills
Benefits
Anika Systems is an outcome-driven technology solutions firm
VITAL Innovation Lab focuses on research and development
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